Advisory Board Meeting
Ernesto
November 28, 2016
What is needed
- Biological Data
- Biomass and Abundance
- Fish location
- Ecological Interactions
- Human Data
- Fishing Decisions
- Regulations
- Costs and Revenues
Where to get it
- Biological Data
- Biomass and Abundance: Stock Assessments
- Fish location: NWFSC EFH
- Ecological Interactions: working on it
- Human Data
- Fishing Decisions: Logbook data
- Regulations: Policy History
- Costs and Revenues: Catcher Vessel Report
What to do with it
- Biological Data
- Biomass and Abundance: input
- Fish location: input
- Ecological Interactions: input
- Human Data
- Fishing Decisions: output
- Regulations: variable
- Costs and Revenues: input
Data exploration

Scenario exploration

Scenario exploration 2

Agent Decisions Algorithms
Fishing Location
- Agents need to:
- Maximize profits
- Balance exploration and exploitation
- Adapt to changes in policies
- Many adaptive algorithms
- Trial and Error
- Imitation
- Heatmap Inferene
We can rank them

Locational choices through quotas
Tradeable quotas generate geographical incentives

Optimal TAC

Optimal ITQ

Pareto Fronts
